PathoTrend AI aggregates signals from across the PandemiCure network and public data sources — 911 calls, ER admissions, OTC medication purchases, school absenteeism, wastewater viral levels, workplace sick calls, veterinary illness spikes, and weather and mobility data — to produce early-warning outbreak classifications hours to days before clinical hospital surge.
Signal Inputs
- 911 BioTriage call pattern changes
- Hospital ER admission patterns and diagnostic codes
- OTC cold, fever, and antiviral medication purchase spikes
- School absenteeism rates by building and grade
- Workplace sick-call rates by facility, shift, and department
- CDC/local wastewater viral surveillance data
- Veterinary illness spikes (zoonotic early warning)
- Foodborne illness reports and food-safety alerts
- Weather, humidity, and mobility pattern data
Output Classifications
- "Possible respiratory cluster — 3 facilities, east quadrant"
- "Possible foodborne cluster — shared vendor, 2 facilities"
- "Possible facility contamination — HVAC zone correlation"
- "Possible zoonotic spillover risk — veterinary + farm signal"
- "PPE/supply chain depletion risk — 11-day forecast"
- "School transmission amplification risk — 72-hour window"
One Health Integration
- Zoonotic animal illness signals fed from Farm BioShield
- Pollinator and environmental toxin signals from BeeSafe network
- Laguna Harvest water quality and crop disease flags
- Soil health and pesticide exposure anomalies
- WHO GOARN and ProMED international outbreak feed integration
Learn More About PathoTrend AI
Contact the PandemiCure team to discuss pilot programs, integration with your existing systems, or investment opportunities.